@article { ISI:000277404300005,
	title = {Interaction between ataxin-2 binding protein 1 and cubitus-interruptus during wing development in drosophila},
	journal = {Developmental Biology},
	volume = {341},
	number = {2},
	year = {2010},
	month = {MAY},
	pages = {389-399},
	publisher = {ACADEMIC PRESS INC ELSEVIER SCIENCE},
	address = {525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA},
	abstract = {<p>Animal growth and development is dependent on reiterative use of key signaling pathways such as Hedgehog (Hh) pathway. It is widely believed that Cubitus-interruptus (Ci) mediates all functions of Hh pathway. Here we report that CG32062, the Drosophila homologue of Ataxin-2 Binding Protein 1 (dA2BP1), functions as a cofactor of Ci to specify intervein region between L3 and L4 veins of the adult wing. Specifically, Ci-mediated transactivation of knot/collier (kn) in this region of the developing wing imaginal disc is dependent on dA2BP1 function. Protein interaction studies and chromatin-immunoprecipiation experiments suggest that Ci helps dA2BP1 to bind kn promoter, which in turn may help Ci to activate kn expression. These results suggest a mechanism by which Ci may activate targets such as kn, which do not have classical Ci/Gli-binding sites. (C) 2010 Elsevier Inc. All rights reserved.</p>},
	keywords = {CG32062, Collier, Hedgehog, Knot, SCA2},
	issn = {0012-1606},
	doi = {10.1016/j.ydbio.2010.02.039},
	author = {Usha, N. and Shashidhara, L. S.}
}
@article {48819,
	title = {Tale of two waves: Delineating diverse genomic and transmission landscapes driving the COVID-19 pandemic in Pune, India},
	journal = {Journal of Infection and Public Health},
	volume = {16},
	year = {2023},
	month = {AUG},
	pages = {1290-1300},
	type = {Article},
	abstract = {<p>
	Background: Modern response to pandemics, critical for effective public health measures, is shaped by the availability and integration of diverse epidemiological outbreak data. Tracking variants of concern (VOC) is integral to understanding the evolution of SARS-CoV-2 in space and time, both at the local level and global context. This potentially generates actionable information when integrated with epidemiological outbreak data.Methods: A city-wide network of researchers, clinicians, and pathology diagnostic laboratories was formed for genome surveillance of COVID-19 in Pune, India. The genomic landscapes of 10,496 sequenced samples of SARS-CoV-2 driving peaks of infection in Pune between December-2020 to March-2022, were determined. As a modern response to the pandemic, a {\textquoteleft}{\textquoteleft}band of five{\textquoteright}{\textquoteright} outbreak data analytics approach was used. This integrated the genomic data (Band 1) of the virus through molecular phylogenetics with key outbreak data including sample collection dates and case numbers (Band 2), demographics like age and gender (Band 3-4), and geospatial mapping (Band 5).Results: The transmission dynamics of VOCs in 10,496 sequenced samples identified B.1.617.2 (Delta) and BA(x) (Omicron formerly known as B.1.1.529) variants as drivers of the second and third peaks of infection in Pune. Spike Protein mutational profiling during pre and post-Omicron VOCs indicated differential rank ordering of high-frequency mutations in specific domains that increased the charge and binding properties of the protein. Time-resolved phylogenetic analysis of Omicron sub-lineages identified a highly divergent BA.1 from Pune in addition to recombinant X lineages, XZ, XQ, and XM. Conclusions: The band of five outbreak data analytics approach, which integrates five different types of data, highlights the importance of a strong surveillance system with high-quality meta-data for understanding the spatiotemporal evolution of the SARS-CoV-2 genome in Pune. These findings have important implica-tions for pandemic preparedness and could be critical tools for understanding and responding to future outbreaks.\&amp; COPY; 2023 Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).</p>
},
	keywords = {COVID-19, Delta, Omicron, SARS-CoV-2 genomic surveillance, Variant of concern, Whole Genome Sequencing (WGS)},
	issn = {1876-0341},
	doi = {10.1016/j.jiph.2023.06.004},
	author = {Niveditha, Divya and Khan, Soumen and Khilari, Ajinkya and Nadkarni, Sanica and Bhalerao, Unnati and Kadam, Pradnya and Yadav, Ritu and Kanekar, Jugal B. and Shah, Nikita and Likhitkar, Bhagyashree and Sawant, Rutuja and Thakur, Shikha and Tupekar, Manisha and Nagar, Dhriti and Rao, Anjani G. and Jagtap, Rutuja and Jogi, Shraddha and Belekar, Madhuri and Pathak, Maitreyee and Shah, Priyanki and Ranade, Shatakshi and Phadke, Nikhil and Das, Rashmita and Joshi, Suvarna and Karyakarte, Rajesh and Ghose, Aurnab and Kadoo, Narendra and Shashidhara, L. S. and Monteiro, Joy Merwin and Shanmugam, Dhanasekaran and Raghunathan, Anu and Karmodiya, Krishanpal}
}
